• Start with a single prototype code • Learn to invert the generator in the vicinity of the prototype by adding noise to the code and generating (code, image) pairs for training a neural net. • Then use the learned model to get codes for real images that are similar to the prototype. Add noise to these codes and generate more training data. – This extends the region that can be inverted along the data manifold (with genetic jumps).

prototype

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nearby datapoint

manifold of digit class in code space